The capacity and influencing factors of primary health care services in China.

ABSTRACT:

Objective

To analyze the capacity and influencing factors of primary health care services and to provide a scientific basis for promoting the development of primary health care services in China.

Methods

The entropy weight technique for order preference by similarity to ideal solution (TOPSIS) and rank‒sum ratio (RSR) methods, which are based on the health resource density index (HRDI), were used to analyze the capacity of primary health care services, and multiple stepwise regression analysis was used to analyze the influencing factors.

Results

Taking the HRDI of primary health care service capacity in 2021 as a reference, the six evaluation indicators of 14 regions, including Hebei, Liaoning, and Shanghai, were higher than the Chinese average. According to the entro

SUBMITTER: Zhou M 

PROVIDER: S-EPMC12404390 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature